From Silence to Voice: Using Personalized AI Language Models to Improve Quality of Life for People with Speech Impediments

This study explores the acceptance and perceived effectiveness of AI-powered Augmentative and Alternative Communication (ACC) systems among individuals with speech impairments. Despite increasing advances in inclusive technology, limited research has addressed how people with communication disabilities evaluate such tools regarding usability, privacy, and behavioral intention. An interdisciplinary project involving information technology, rehabilitation medicine, and social work was conducted with 39 participants in Taiwan. Each participant completed pre-assessments, voice recordings to build personal language models, and post-assessments using the Technology Acceptance Model (TAM) framework. Results showed high overall satisfaction and willingness to use the system, particularly among younger and male participants. Although no statistically significant differences in TAM variables were found between subprojects or education levels, male users demonstrated higher behavioral intention, and younger participants exhibited more favorable attitudes toward AI tools. Quality of life (QOL) scores revealed the highest satisfaction in the environmental domain and the lowest in health and life satisfaction. These findings provide a foundational understanding of user experience and acceptance, guiding the future design and deployment of AI-based ACC technologies.